Data Science Workshop Series brings together researchers, academics and students from across the University to showcase how Data Science can support our strategic goals. DS4 Workshop SeriesThe 'Data Science for ...' series of workshops aims to fulfill our commitment to raise Data Science awareness and foster relevant collaborations addressing pressing societal challenges. The one day workshops are planned around the central theme of Data Science in the service of the University's strategy. In each edition we set one of the strategic goals of the University as a focus area, and invite researchers, academics, and students from across the University to showcase their work and ideas on the topic to raise awareness and generate conversations and collaborations. Upcoming workshopsData Science for Climate and Environment Our next workshop in the series will be on Data Science for Climate and Environment. The event is tentatively scheduled to take place on the 30th of March 2026 at the Bayes Centre. Watch this space!Previous editions of the workshopData Science for Human RightsThe Universal Declaration of Human Rights and subsequent treaties posit the fundamental rights of every human, such as the right to liberty, equality, and justice, as well as education, health, and healthy environment. Advancing the upholding of these rights globally is vital, and the University recognises this issue in its strategic charter. The workshop aims to connect researchers working on or interested in Human Rights, and our hope is to facilitate collaboration and exchange of knowledge, as well as promote Data Science tools and practices in this area. The event took place on the 17th of March 2025 at Bayes Centre. AgendaTimePresenterTitle9:30 AMTea / Coffee 10:10 AMDaga PanasWelcome10:15 AMKay TisdallChildren’s Human Right Indicators10:23 AMMatjaz VidmarReflections on Trans(Planetary) Futures10:36 AMJasmeen KanwalUpholding Children’s Rights with Data and AI Education in Schools10:44 AMKarthik MohanChild Poverty: Access to Services – Travel Time Maps for the African continent 10:57 AMDonald ScobbieTrusted Research Environments – secure computing for working safely with sensitive data 11:05 AMAyça AtabeyTBC 11:13 AMRhoda JiangTBC11:21 AMLouise DonnisonTBC 11:25 AMKirsteen ShieldsTBC 11:30 AMTea / Coffee / Pastries 11:50 AMKirsty PringleAir Quality Stripes – visualising trends in air quality to highlight global inequalities 11:58 AMMarisa WilsonIndigenous Data Sovereignty ESRC project (brief overview) 12:06 PMDaga PanasIRIS12:14 PMSohan SethData-driven correction of Observed Wasting Prevalence for Seasonal Variation 12:27 PMSamer AbdelnourCalculating Military / War Emissions 12:35 PMSanja BadanjakUsing NLP and semantic similarity models to better understand how peace agreements support human rights provision in transition from armed conflict 12:49 PMPhilipp BarthelmeCombining historical records and declassified U.S. spy satellite imagery to assess the long-term impacts of the Vietnam War13:00 PMLunch Data Science for Mental Health and WellbeingMental health refers to an individual's capacity to feel, think, and act in ways to achieve a better quality of life while respecting personal, social, and cultural boundaries [Wikipedia]. In recent years poor mental health has become a global concern, with about 970 million people worldwide suffering from a mental disorder in 2019, most commonly anxiety and depression. Understanding the phenomenon and tackling the challenge of the globally worsening wellbeing is a priority. It is a complex problem since mental health is influenced by a range of biological, demographic and environmental factors, and therefore, we hope to bring together students and researchers from across a range of disciplines, to explore the application and applicability of Data Science in this area.This workshop took place on Monday the 11th of March 2024 in the Bayes Centre. TimePresenterTitle9:15Sohan SethWelcome9:30Karthik MohanModeling mental health trajectories during the COVID-19 pandemic using the Understanding Society data9:45Emma GaleThe role of mental well-being in the development of poor sleep and obesity in adolescents10:00Jasmin WertzImproving the early identification of mental health problems using routinely collected school data10:15Peggy SeriesThe emerging field of Computational Psychiatry10:30- - -Coffee break11:00Kelly FleetwoodUsing electronic health records to understand relationships between mental and physical health11:15Pippa ThomsonUsing Omics to understand environmental risk factors for depression11:30Suryansh ManochaCausality Methods for Dementia Risk Inference11:45- - -Pitch Session Koraima Sotomayor EnriquezMentalization and emotion regulation in the daily life of young people Katie MarwickDeep phenotyping of women with bipolar disorder approaching the menopause Lisa ScholinDiseases of despair and Emergency Services –Describing presentations, EStimating risk and Predictors, Analysing key Intervention points, and making Recommendations for commissioning (DESPAIR) Jasmeen KanwalData Education in Schools Lysimachos ZografosPitch support by EI/Wellcome iTPA team12:00---Lunch13:00Claire Anne BangaLeveraging ML/AI to Tackle Mental Health & Drug Overdoses13:15Robin FlaigThe UK Longitudinal Linkage Collaboration: a trusted research environment for the longitudinal research community13:30Clare LlewellynMonitoring mental health and psychosocial wellbeing using big data sources13:45--- Short Talks Kasia BanasConsidering wellbeing in data science teaching Sohan SethPollution, Mental Health, Remote Sensing, AI13:55Daga PanasWrap up Data Science for Sustainable DevelopmentThe workshop aims to bring together researchers and students from a range of disciplines and will focus on the application and applicability of Data Science tools and practices in the pursuit of Sustainable Development Goals (SDGs). SDGs are 17 interrelated objectives formulated by the United Nations in 2015 to shape a sustainable future for the planet and the people. Our hope is to facilitate fruitful discussions among the academic community and aid in further development of cross-disciplinary research advancing this fundamentally important agenda by sharing data, methods and knowledge.The event was hosted on 06.03.2023 at the Informatics Forum.TimePresentationTitle9:00 AM Sohan SethIntroduction9:15 AMJamie CrossIntroducing the Edinburgh Earth Initiative9:25 AM Ram RamamoorthyAI for next-generation and sustainable mobility9:35 AMDiego OyarzunIntroducing The Science for Sustainability Hub9:45 AM Maximilian ParzenAI and digital twins for advancing net-zero energy system planning9:55 AM Chris BanksBoosted Regression for augmenting Bovine Tuberculosis test sensitivity10:05 AM Break10:40 AM Daga PanasData Science Unit for Science, Health, People and Environment10:50 AM Fraser MacdonaldData for Good through Global Collaboration11:00 AM Brian SellarCapturing data from high-energy coastal environments for reliable and sustainable offshore renewable energy production11:10 AM Joe KennedyModelling the health impacts of reducing meat consumption in the United States11:20 AM Desen KirliData and Digitalisation for Net Zero11:30 AM DavidRushFires in informal settlements - my data needs11:35 AM Jasmeen KanwalData Education in Schools11:40 AM John MorrisseyAI Application in the Particulate Products Manufacturing Industry11:45 AM Thomas ReynoldsResilience of Traditional Buildings in Madagascar to Cyclone Winds 11:50 AM Eleojo AbubakarSocioeconomic determinants of inequality in subjective well-being in neighbourhoods and cities in Africa 12:00 PM Lunch Break1:00 PM Karthik MohanSatellite Images 4 Sustainable Development1:10 PM Matjaz VidmarSustainability in Open Engineering Practice1:20 PM Sergio Lopez DubonData-driven methods on Tidal Blade testing1:25 PM Xue LiDetecting false claims about climate change: an approach based on knowledge graph1:40 PM Breakout Session 2:40 PMWrap up This article was published on 2024-11-22
